Borrowing it
Nothing to install: this file belongs to lsampaioweb/ai-instructions. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lsampaioweb/ai-instructions/main/.cursor/skills/clean-slate-workspace/SKILL.mdgit clone --depth 1 https://github.com/lsampaioweb/ai-instructionsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lsampaioweb/ai-instructions/clean-slate-workspace)<a href="https://agentmods.dev/skills/lsampaioweb/ai-instructions/clean-slate-workspace"><img src="https://agentmods.dev/badge/skills/lsampaioweb/ai-instructions/clean-slate-workspace/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lsampaioweb/ai-instructions/clean-slate-workspace"><img src="https://agentmods.dev/badge/skills/lsampaioweb/ai-instructions/clean-slate-workspace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00054 | $0.00305 |
| Opus 5 | $0.00027 | $0.00152 |
| Sonnet 5 | $0.00011 | $0.00061 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
clean-slate-workspace scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Clean Slate Workspace Engine
- Obey
AGENTS.md(project root). - Never delete user-authored files or ambiguous-ownership artifacts without treating them as user-authored.
1. Scope & Analysis
- Inspect current conversation artifacts in the active workspace.
- List all files, plans, repo memory, session memory, and temporary artifacts created in this chat.
- Determine ownership for each artifact.
2. Resolution Rules
- Do not delete anything until inspection is complete and targets are listed.
- Ask for explicit confirmation before deletion.
- Delete only artifacts created in this chat.
- Treat ambiguous ownership as user-authored.
- Do not delete or modify user-authored files.
- Do not touch persistent user-level memories or reusable customizations unless they were created for this workspace in this chat.
- Remove empty directories left by deletions.
- Verify workspace cleanliness after deletion.
- If no session-created artifacts exist, state that explicitly and stop without performing any deletions.
3. Review Plan Layout
- Report what was deleted.
- Report what was intentionally preserved.
- Report uncertainties or leftovers requiring manual review.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 38 lines · 54 tokens per session scan A 77aa3cbe0459
clean-slate-workspace is a skill published in the GitHub repository lsampaioweb/ai-instructions (1 stars, last pushed 19d ago), licensed MIT. It adds 54 tokens to every session and 305 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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